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how is this compared to https://shadowtraffic.io/


Different focus, ShadowTraffic is config-driven and optimized for streaming/Kafka workloads. We're schema-driven: point us at your DDL and we generate relational test data automatically. Less config, more just give me test data that fits my tables.


Which LLM can generate that timeline event graphic from text?


Why did they decide to build a custom front end vs leverage Grafana that’s already as the front layer?


We think Grafana is still a great tool and many teams are heavily invested in the Grafana ecosystem. We'll continue to invest in Grafana support via ClickHouse's official Grafana plugin and that won't be changing at all with this release.

However, there's a bit of a fundamental difference in the user experience we're targeting. Grafana has really excelled at traditional monitoring dashboards, low cardinality monitoring workflows.

ClickHouse unlocks a newer paradigm of high cardinality, high performance observability. It enables a new set of workflows/UX that allows engineers to query novel problems quickly as opposed to working off of static dashboards. That's really a big focus of ours, so you'll see we do exploration/search/syntax/UI layout is quite different from Grafana due to this.

At this point it isn't even an original realization of ours. Just as an example, Shopify built a complete custom app (only keeping the auth part of Grafana) while migrating to ClickHouse for similar reasons.


https://github.com/grafana/grafana/blob/v12.0.1/LICENSE being AGPLv3 likely is a non-trivial part of that


are you able to share the link to your prompts / conversation?


it'd be cool to see the prompts used and the edits required to get to the end product here.


Is this on GitHub to take a look at the code?


Currently it‘s not open sourced. Eventually considering it for the future though.


Thank you. Look forward to it! How is the data model visuzalization built? Does Duckdb provide that out of the box?


No, it's implemented via parsing the current schema and translating it to a Mermaid ERD, see https://mermaid.js.org/syntax/entityRelationshipDiagram.html


What are some good datasets to combine with weather data based on a geolocation?


Are there such immersive math courses geared more towards middle / high schoolers?


Is Superset extensible enough to click on the charts -- for example, click on part of the pie-chart and have it show the list that makes up the data for that part of the pie chart?


https://preset.io/blog/drill-down-and-drill-by/

(your user needs "can samples" permission)


This is pretty neat. Wonder if they're using some data catalog under the covers for the search screen or is it all custom built.


It looks like ArcGIS, which is what my city of Halifax, NS also uses: https://catalogue-hrm.opendata.arcgis.com/


It is ArcGIS. Here is their Emergency Operations Center overlay:

https://bouldercounty.maps.arcgis.com/apps/webappviewer/inde...

You get used to refreshing this page during down-slope, windy, red flag days.


Looks like that one is using https://hub.arcgis.com/

Another common platform for these is https://dev.socrata.com


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